Healthcare Module 20182018-09-21T18:13:12+00:00


Managing Risks
and Rewards
with Microshare

The healthcare sector has been a pioneer in integrating Internet of Things (IoT) applications to improve efficiency and reduce labor intensive tasks.

In addition to cost efficiencies and improved patient outcomes, IoT has extended the reach of health care companies and medical practitioners well beyond the walls of hospitals, clinics and doctor’s offices and into patients’ homes and offices.

The technology advances that push the connected healthcare market forward also propel healthcare companies and device manufacturers into fraught regulatory territory. Violating patient confidentiality, even inadvertently, exposes companies to severe fines and possible litigation. Managing the myriad interactions and permissions necessary to handle personal medical data without violating privacy or regulatory codes is no simple matter.

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Microshare™ was designed to manage these risks. Our solution:

Ingests data at scale, integrating and batch processing in real time. We manage data generated by any source, from IoT sensors, web services, SaaS systems or even legacy databases like EMR, ERP and CRM.

Processes data with a curatorial eye, anonymizing it, encrypting it, of course, but also formatting it so as to retain the ability to perform deep analytics. Once stored in a data lake, you can activate triggers and notifications, streamline workflows, and share or sell data to third parties consistent with HIPAA and other regulations.

Enables compliance and audit: Full audit is automatically generated in all stages of the data lifecycle, ensuring audit on demand and providing a new layer of contextual security. Hosted in an environment that is both HIPAA and ISO 27018 certified.

Improves patient satisfaction: Our Digital Ombudsman gives patients visibility and control of their health data and makes it easier for consumers to grant or deny access to share their data with insurers, providers, and healthcare proxies.

Healthcare technology innovation has launched new business models and streamlined older ones. Yet innovators and systems integrators have paid little attention to the risks their advances spawn.

In theory, the proliferation of wearables like the Fitbit and Apple Watch provide an enormous opportunity to improve patient health. But these devices were not built with data sharing in mind. A 2017 report by Privacy Rights Clearinghouse found 40% of 43 fitness apps collected high-risk data, including addresses, financial information, full name, health information, location and date of birth. Microshare’s granular approach to IoT data management mitigates these risks by allowing healthcare providers to seamlessly get the permissions required and to quarantine or even delete data that presents a security or compliance risk.
Biosensors purpose-built for the healthcare industry go well beyond the retail wearable market. These range from small devices that monitor infant temperatures to complex diagnostic and life-support equipment. The benefits of such devices are obvious to both patient and provider. Yet in addition to the privacy risks enumerated above, these devices may require regular recalibration or might be second-hand and performing under outdated specifications. Microshare’s micro-contracting and permissions capabilities manage this risk by requiring advance chain of custody confirmation before medical decisions would ever be based on data from such devices.

Reducing the volume of paperwork in healthcare interactions is the Holy Grail for providers and consumers alike. Microshare adds value on the day of deployment, creating insights for businesses large and small. Our data management allows a deeper, real-time analysis of throughput that identifies bottlenecks and suggests how to resolve them. Our ability to help manage inventories – from pharmaceuticals to scalpels – can eliminate waste and theft – a major litigation risk. IoT enabled predictive cleaning of high-use areas and maintenance alerts for critical equipment to reduce downtime.